[PDF] Top 20 A Neural Network Model Deployed in the Cloud for Prediction of Network Traffic
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A Neural Network Model Deployed in the Cloud for Prediction of Network Traffic
... the model is tested with a simulation run depicting high congestion (Bandwidth – 5, Update percentage – 10%, and maximum active transactions, MAT ...the prediction model has shown very promising ... See full document
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Tourist traffic prediction method based on the RBF neural network
... to prediction about tourist ...mathematical model, there is huge deviation between predicted value of tourist flow and its real value, and it is impossible to establish quantitative relation be- tween ... See full document
5
NeuroSVM: A Graphical User Interface for Identification of Liver Patients
... NeuroSVM model was developed using SVM and feed-forward artificial neural network ...hybrid model was tested for its performance using statistical parameters like root mean square error (RMSE) ... See full document
5
A Short Term Traffic Flow Prediction Based on Recurrent Neural Networks for Road Transportation Control in ITS
... of traffic flows has been targeting time to time and has a good work ...term traffic flow predictions model based on support vectors representations, is being introduced by Castro-Neto et ...term ... See full document
5
Prediction of SLA Violation in Cloud Resource Allocation using Machine Learning based Back Propagation Neural Network (BPNN)
... Cloud QoS infringement distinguishing pieces of proof utilizing AI based BPNN. Here we utilize WS-DREAM [4] informational collection in our analyses to decide an ideal multiclass order model for recognition ... See full document
6
WIRELESS NETWORK TRAFFIC CONTROL USING NEURAL NETWORKSIN WAVELET DOMAIN
... current traffic across multiple channels and predicts future traffic loads on each of the channels for deciding best channel for the Access Point (AP) to operate on for serving wireless ...clients. ... See full document
9
PREDICTION OF BUS TRAVEL TIME USING ARTIFICIAL NEURAL NETWORK
... Artifical Neural Network Models: (Smith and Demetsky, 1995; Dia, 2001; Chien et ...ANN model is used for solving non- linear complex data related ...ANN model is done in two phases: learning ... See full document
15
Short-Term Traffic Prediction Using a Binary Neural Network.
... Short-term prediction algorithms can broadly be classified into univariate and multivariate ...univariate prediction models predict the future value of a single variable as a function of the same variable ... See full document
13
Telecom Voice Traffic Prediction for GSM using Feed Forward Neural Network
... our model tan-sigmoid transfer function has been used in every layer which gives best generalization of data normalize between -1 & ...our model , only one parameter ‘traffic’ has to be measured ... See full document
7
Traffic Signal Prediction Using Elman Neural Network and Particle Swarm Optimization
... Elman neural network with particle swarm optimization algorithm for traffic signal ...Elman neural network is able to model past events due to its particular structure which ... See full document
7
Using Principal Component Analysis and Least Squares Support Vector Machine to Predict the Silicon Content in Blast Furnace System
... existing prediction model, we found that some models only used single silicon content of ([Si]) sequences without many key state and control varia- bles, this is not ...[15-25] model, and constructs ... See full document
14
Response surface and artificial neural network prediction model and optimization for surface roughness in machining Pages 229-240 Download PDF
... through neural network modeling for variety of cutting conditions in finish turning of hardened AISI H- 13 ...artificial neural network (ANN) and response surface (RS) model to predict ... See full document
12
Artificial Neural Network Model for Friction Factor Prediction
... ANN model were obtained from the iterative solution of the implicit Cole- brook equation using Microsoft Excel ...the network and f is as the target (the output variable) to be predicted by the ...the ... See full document
7
Load Balancing the Network Traffic in the Nth Mode of IP Tables
... optimization model based on BP neural networks in order to solve the problem of manual strategy choice when they use the campus network of multiple internet service provider ...of network ... See full document
7
The Research of Low Earth Orbit Prediction of Satellite Based on Deep Neural Network
... the neural network show the enormous effect in the area of image and video identification, stock ...deep neural network in pattern recognition also shows its effectiveness in uncertain system ... See full document
9
Application of Artificial Neural Network in the Ratio Prediction of Axis Bank
... The prediction of corporate bankruptcies is an important and widely studied topic since it can have significant impact on bank lending decisions and ...bankruptcy prediction, with emphasis on different ... See full document
11
Self organizing map and least square support vector machine method for river flow modelling
... Suykens et al. (2005) introduced a revolution of SVM called Least Square Support Vector Machine (LSSVM) to encounter the SVM quadratic programming problem. The LSSVM encompasses similar advantages as SVM, but its ... See full document
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INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK
... Usually, the frequency and exact position of features are irrelevant for final prediction for example, to identify objects in an image. By that, pooling layer summarizes adjacent neurons by calculating the average ... See full document
7
Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... linear model of a process and therefore the disadvantage associated with the linear controller is that it does not perform well over the wide range of operating conditions and with large disturbances ...nonlinear ... See full document
13
The Impact of Mobile Offloading on Energy Consumption and Capacity of Radio Access Networks – Case of Finland
... The Finnish Mobile Operators face two main challenges: (i) mobile data subscriptions penetration and traffic are experiencing rapid growth and (ii) government intervenes in the market to attain specific goals. For ... See full document
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